Description: 针对M/PH/1(k)排队系统推导出该排队系统在任意时刻、到达时刻、退去时刻的队列长度状态概率分布、平均队列长度、以及平均等待时间，并编写程序进行数值计算，并对M/E2/1(k), M/M/1(k), M/H2/1(k)排队系统的性能进行数值比较。-against M/PH/1 (k) queuing system derived the queuing system at any time, the arrival time, faded moment of the queue length probability distribution, the average queue length, and the average waiting time, and the preparation procedures for numerical computation, and M/E2/1 (k), M/M/1 (k), M/H2/1 (k) queuing system performance numerical comparison. Platform: |
Size: 3072 |
Author:lidong |
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Description: 数字信号处理的应用之一是从含有加性噪声的信号中去除噪声。现有被噪声污染的信号x[k]=s[k]+d[k],式中： 为原始信号d[k]为均匀分布的白噪声。
（1）分别产生50点的序列s[k]和白噪声序列d[k],将二者叠加生成x[k],并在同一张图上绘出x0[k],d[k]和x[k]的序列波形。
（2）均值滤波可以有效去除叠加在低频信号上的噪声。已知3点滑动平均数字滤波器的单位脉冲响应为h[k]=[1,1,1 k=0,1,2],计算y[k]=x[k]*h[k],在同一张图上绘出前50点y[k],s[k]和x[k]的波形，比较序列y[k]和s[k]。
-digital signal processing applications from one containing additive noise signal denoising. Existing noise pollution was a signal x [k] = s [k] d [k], where : of the original signal d [k] uniform distribution of white noise. (1) have 50 points each sequence s [k] and white noise sequence d [k] superposition of the two generation x [k] and the same is likely to draw a map x0 [k] d [k] and x [k] waveform sequence. (2) mean filter can effectively remove superimposed on the low-frequency noise on the signal. 3:00 known moving average digital filter unit for pulse response h [k] = [k = 0,1,2 1,1,1] Calculation y [k] = x [k]* h [k], the same is likely to draw a map before 50 y [k] s [k] and x [k] waveform sequence comparison y [k] s and [k]. Platform: |
Size: 28672 |
Author:魏臻 |
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Description: ofdm系统中功率自适应分配算法研究的matlab源代码（k＝20）-ofdm Power System Adaptive Algorithm for the distribution of the source code Matlab (k = 20) Platform: |
Size: 11264 |
Author:wenjuner |
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Description: ％ PIEFLAB Main Directory
％ ----------------------
％
％ .m - files
％ ----------
％ Contents.m : this file
％ startup.m : startup file: sets Matlab path executed automatically when
％ Matlab command is performed in this directory
％
％ subdirectories
％ --------------
％ General/ : general matlab commands
％ MRF/ : Markov Random Field: Bayesian algorithm for images
％ Noise/ : noise generation, density/distribution functions
％ Tests/
％ Threshold/ : threshold procedures (includes threshold assessment)
％ WT/ : Wavelet Transform routines
％ Poisson/ : Poisson intensity estimation routines
％ Copyright (c) Maarten Jansen
％ K.U.Leuven - Flanders (Belgium)
％
％ This software is part of PiefLab and is copyrighted material. More info on
％ copyright policy is available on:
％ www.cs.kuleuven.ac.be/~maarten/software/- PIEFLAB Main Directory----------------------. M- files---------- Contents.m: this file startup.m: startup file: sets Matlab path executed automatically when Matlab command is performed in this directory subdirectories-------------- General /: general matlab commands MRF /: Markov Random Field: Bayesian algorithm for images Noise /: noise generation, density/distribution functions Tests/Threshold /: threshold procedures (includes threshold assessment) WT /: Wavelet Transform routines Poisson /: Poisson intensity estimation routines Copyright (c) Maarten Jansen KULeuven- Flanders (Belgium) This software is part of PiefLab and is copyrighted material. More info on copyright policy is available on: www.cs.kuleuven.ac.be/ ~ maarten/software / Platform: |
Size: 113664 |
Author:汪伟 |
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Description: 文件给出了几个典型的雷达杂波的小程序：瑞利杂波，相关对数正态分布杂波，相关weibull分布杂波和相干相关K分布杂波。-Document gives a few typical small radar clutter process: Rayleigh clutter, clutter-related log-normal distribution, weibull distribution related clutter and coherent K distributed clutter related. Platform: |
Size: 6144 |
Author:张小娅 |
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Description: 现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡-The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of Platform: |
Size: 2048 |
Author:ben |
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Description: 产生地_海杂波的相关K分布程序，产生相关K分布的幅度谱和频谱-Generated to sea clutter _ K distribution of the relevant procedures, resulting in the distribution of related K amplitude spectrum and spectrum Platform: |
Size: 3072 |
Author:wujie |
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Description: 產生k個d維的常態分布樣本，產生某個事前機率為P(wi)的常態分布的discriminant
function，計算任兩點間的Euclidean distance及Mahalanobis distance
-Generated k-d-dimensional normal distribution of samples to generate a prior probability P (wi) of the normal distribution of the discriminant function, calculated between any two points in Euclidean distance and Mahalanobis distance Platform: |
Size: 38912 |
Author:amy |
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Description: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含：
1，Analysis of linear discriminant function
2，Feature extraction: Linear Discriminant Analysis
3，Probability distribution estimation and clustering
4，Support Vector and other Kernel Machines-
This section should give the reader a quick overview of the methods implemented in
STPRtool.
• Analysis of linear discriminant function: Perceptron algorithm and multiclass
modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection
of known algorithms solving the Generalized Anderson’s Task.
• Feature extraction: Linear Discriminant Analysis. Principal Component Analysis
(PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis.
• Probability distribution estimation and clustering: Gaussian Mixture
Models. Expectation-Maximization algorithm. Minimax probability estimation.
K-means clustering.
• Support Vector and other Kernel Machines: Sequential Minimal Optimizer
(SMO). Matlab Optimization toolbox based algorithms. Interface to the
SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers.
Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell-
Demyanov-Molozenov algorithm Platform: |
Size: 4271104 |
Author:查日东 |
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Description: ex9_1 脉冲信号调制
ex9_2 载波10MHz，带宽2MHz的线性调频信号及其频谱图
ex9_3 产生7位巴克码编码的二相码
ex9_4 产生7位巴克码和线性调频的混合调制信号
ex9_5 瑞利分布实现程序
ex9_6 瑞利分布＋杂波
ex9_7 相关对数正态分布杂波
ex9_8 相关weibull分布杂波
ex9_9 相干相关K分布杂波
ex9_10 线性调频信号的数字化正交解调
ex9_11 雷达脉冲压缩处理
ex9_12 二相编码信号的脉压处理
ex9_13 用FFT和FIR方法实现MTD处理
ex9_14 雷达的恒虚警处理（CFAR）
ex9_15 比较相参积累和非相参积累-ex9_1 pulse signal modulation
ex9_2 carrier 10MHz, bandwidth of 2MHz and the linear frequency modulation signal frequency spectrum
7 Barker ex9_3 produce the two-phase coding code
7 Barker ex9_4 generated code and linear FM modulation of the mixed signal
Rayleigh distribution ex9_5 implementation procedures
Rayleigh distribution ex9_6+ Clutter
lognormal distribution ex9_7 related clutter
weibull distribution ex9_8 related clutter
Related ex9_9 coherent K distributed clutter
LFM signal ex9_10 digital quadrature demodulation
radar pulse compression ex9_11 treatment
ex9_12 BPSK signal pulse pressure treatment
ex9_13 Ways to use FFT and FIR implementation deal with MTD
ex9_14 CFAR radar deal (CFAR)
Comparison ex9_15 coherent and noncoherent Platform: |
Size: 18432 |
Author:张满超 |
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Description: ) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
-) Compression using huffman code
-with a number of bits k per code word
-provide huffman table
Huffman coding is optimal for a symbol-by-symbol coding with a known input probability distribution.This technique uses a variable-length code table for encoding a source symbol. The table is derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol .Huffman coding uses a specific method for representing each symbol, resulting in a prefix code that expresses the most common characters using shorter strings of bits than those used for less common source symbols.The Huffman coding is a procedure to generate a binary code tree.
Platform: |
Size: 1024 |
Author:ria |
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Description: K分布和高斯杂波复合背景下的相干雷达目标检测-K distribution and Gaussian clutter in the context of complex coherent radar target detection Platform: |
Size: 258048 |
Author:程程 |
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Description: 基于Matlab的
GUI的集成软件，功能包括：
1、海杂波模型仿真和统计分析（瑞利、韦伯、对数和K分布SIRP和ZMNL法）；
2、海杂波/波导参数估计（海杂波、多径和波导参数和雷达探测性能估计）；
3、实测海杂波数据统计分析。-Matlab' s GUI-based integrated software, features include: 1, sea clutter model simulation and statistical analysis (Rayleigh, Weber and K on the number and distribution of SIRP and ZMNL Act) 2, Sea Clutter/waveguide parameter estimation ( sea clutter, multipath and the waveguide parameters and the radar detection performance is estimated) 3, measured sea clutter data statistical analysis. Platform: |
Size: 8047616 |
Author:杨世海 |
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Description: 该程序试图考察一组数据服从哪种分布（正态，指数或双边指数），并利用K-S检验对各种分布作了检验。-The program attempts to examine a set of data subject to which distribution (normal, exponential or bilateral index), and use KS test has been tested in a variety of distributions. Platform: |
Size: 261120 |
Author:姚益武 |
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Description: 常见概率分布的随机数生成程序，包括均晕分布、高斯分布、对数正态分布、K分布、t分布、韦布尔分布。-Common probability distribution of the random number generation process, including both halo distribution, Gaussian distribution, lognormal distribution, K distribution, t distribution, Weibull distribution. Platform: |
Size: 2048 |
Author:袁浩 |
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Description: 基于球不变随机过程法，使用复合高斯模型来产生K分布杂波数据的matlab仿真程序
(为了不低于上传文件的大小要求传了两份一样的，编程就几句话实在弄不大）(A matalab simulation program for producing K distribution clutter data, which used compound Gauss model, and is based on spherically invariant random vector method) Platform: |
Size: 1024 |
Author:Akiraaa |
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Search - k distribution matlab